Join Integrated Resources Inc. as a Database Optimization Engineer in Santa Clara, CA, where you will play a critical role in enhancing the performance and efficiency of our database systems. You will collaborate with cross-functional teams to design, implement, and maintain optimized database solutions that meet the dynamic needs of our organization.

Role Overview Performance Optimal Health is looking for a Golf Trainer in Darien, Connecticut. This role centers on helping clients improve their golf skills and overall athletic ability. The Golf Trainer works with individuals at various experience levels, supporting both beginners and seasoned players. What You Will Do Design and deliver personalized golf training programs tailored to each client’s needs and goals Lead one-on-one and group golf lessons that focus on skill development and enjoyment of the sport Offer clear, constructive feedback to guide clients as they refine their techniques Encourage a positive approach to learning and foster a lasting appreciation for golf About Performance Optimal Health Performance Optimal Health supports clients in achieving their best on and off the course. The team values expertise, encouragement, and a commitment to helping each individual reach their potential in golf and broader athletic performance.

Join Zyphra as a Research Engineer specializing in AI Performance and Kernel Optimization. In this role, you will work at the forefront of AI technologies, developing and optimizing kernel solutions that enhance the performance of our systems. You will collaborate with cross-functional teams, leveraging your expertise to drive innovation and efficiency.

About Performance Optimal Health Performance Optimal Health delivers rehabilitation services focused on helping clients reach their health goals. The team works closely with each individual to support long-term recovery and well-being. Role Overview: Physical Therapist The Physical Therapist designs and implements tailored treatment plans for patients recovering from injury, surgery, or chronic conditions. This role supports each patient's progress, adapting strategies as needed to promote the best possible outcomes. Location Naples, Florida, United States

About Us:At Fireworks AI, we are pioneering the future of generative AI infrastructure. Our cutting-edge platform provides unparalleled model quality with the fastest and most scalable inference capabilities in the industry. We have been independently recognized as the leader in LLM inference speed and are at the forefront of innovative projects like our proprietary function calling and multimodal models. As a Series C company valued at $4 billion, we are backed by premier investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. Our dynamic team of builders includes veterans from Meta PyTorch and Google Vertex AI, and we are driven by ambition and collaboration.The Role: We are seeking a talented Software Engineer specializing in Performance Optimization to enhance the speed and efficiency of our AI infrastructure. This role demands ownership of performance optimization across all system layers, from low-level GPU kernels to large-scale distributed systems. Your primary focus will be on maximizing the efficiency of our most demanding workloads, which encompass large language models (LLMs), vision-language models (VLMs), and next-generation video models.You will collaborate closely with teams in research, infrastructure, and systems to identify performance bottlenecks, implement innovative optimizations, and scale our AI systems to meet the real-world demands of production use cases. Your contributions will significantly influence the speed, scalability, and cost-effectiveness of some of the most advanced generative AI models globally.

Applied Intuition, Inc. creates digital infrastructure and tools that support physical AI across industries such as automotive, defense, trucking, construction, mining, and agriculture. The company is headquartered in Sunnyvale, California, and operates offices in cities including Washington, D.C., San Diego, Ft. Walton Beach, Ann Arbor, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Eighteen of the world’s top twenty automakers, as well as the U.S. military and allied forces, rely on Applied Intuition’s technology. For more details, visit applied.co. The team values an in-office culture, with most employees onsite five days a week. There is flexibility for occasional remote work, starting the day from home, or adjusting hours for family commitments. Role overview This Software Engineer - Performance Optimization role is based in Mountain View, California. The focus is on optimizing application-layer software for embedded systems used in autonomous driving technology. What you will do Work across several components of the autonomous driving software stack Develop new features and drive performance improvements for embedded systems Requirements Experience optimizing application-layer software for embedded systems

Join Turbopuffer as a Database Engineer and help redefine the future of search technology.Key Responsibilities:Design and enhance various components of our search engine, focusing on storage, indexing, and querying.Engage in performance optimization, including tracing, profiling CPU/heap, refining data structures, utilizing SIMD, and tuning I/O pipelines.Advance our search primitives and APIs, including full-text search, vector search, and reranking techniques.Collaborate with customers to understand their workloads and integrate insights back into our product development.Produce clear and concise documentation.Essential Qualifications:Systems Engineering:Proficient in systems programming languages such as Rust, C++, Java, or Go.Understanding of memory layouts, cache lines, and system calls.A methodical approach to problem-solving, focused on identifying root causes.Domain Expertise: Proficiency in at least one of the following areas:Search internals including inverted indexes and approximate nearest neighbor (ANN) indexes.Storage engine technologies such as LSMs, WALs, and garbage collection.Distributed systems knowledge, including replication and fault tolerance.Linux Proficiency: Comfortable working in Linux environments, utilizing tools like eBPF, perf, strace, and gdb.Communication Skills: Ability to articulate complex ideas clearly and effectively.Collaboration: Build trust with team members and acknowledge gaps in knowledge.Preferred Qualifications:Experience in writing Rust for multiple years.Hands-on experience managing large-scale production systems.Contributions to database, information retrieval, or systems communities through research, open source, or public speaking.Additional expertise in cloud infrastructure (GKE/EKS/AKS), security in multi-tenant systems, and observability.

Overview At Abax Health, we are dedicated to bridging the gaps in care and enhancing the connectivity of healthcare data to elevate patient and provider outcomes. We are in search of a proficient Senior Database Engineer who will spearhead the design, optimization, and management of enterprise-level data systems that drive our analytics, reporting, and business intelligence initiatives. This pivotal role combines extensive technical database expertise with architectural leadership, ensuring performance, scalability, and data integrity throughout our data ecosystem. The Senior Database Engineer will operate at the crossroads of engineering and business operations, tasked with maintaining fast, reliable, and scalable data pipelines and warehouses as we transition from an early-stage client base to a multifaceted enterprise. Key Responsibilities Architect and enhance data warehouse platforms and the supporting database systems. Design and implement efficient data ingestion and transformation pipelines (ETL/ELT) utilizing tools such as ADF, DBT, or equivalents to guarantee reliable data ingestion from diverse sources (SFTP, HL7, FHIR, etc.). Develop and sustain logical and physical data models that back internal analytics, dashboards, and client-facing reporting applications. Optimize database performance, scalability, and reliability through tuning, indexing strategies, and proactive monitoring across both production and staging environments. Lead strategic data initiatives by establishing architectural standards that promote scalability, efficiency, and cost-effectiveness across the data platform. Collaborate with software engineering, implementation, operations, and business teams to ensure alignment on data requirements and governance practices. Administer, maintain, and monitor database systems to uphold availability, integrity, recoverability, and secure access in compliance with disaster recovery and business continuity best practices. Implement source control and DevOps methodologies (e.g., GitHub, ADO, etc.) for database change management, CI/CD automation, and deployment of database alterations. Mentor junior engineers in SQL development, reporting, analytics, and performance tuning best practices. Establish and enforce data governance standards for security, compliance, and consistency across all environments. Qualifications Over 10 years of experience in database engineering, architecture, or administration, particularly with production-grade SQL Server environments. Demonstrated experience in designing and automating ETL pipelines and data warehouse solutions that support analytics, reporting, and business intelligence platforms (e.g., Power BI, Tableau). Deep expertise in database performance tuning, optimization, and maintenance. Solid understanding of data governance standards and best practices. Effective communication skills for cross-functional collaboration.

About the RoleWe're excited to invite you to join wafer as a Spring Intern, where you will play a crucial role in shaping the future of AI infrastructure and GPU optimization. As part of our innovative team, you will work closely with full-time engineers to define our technical strategies and contribute to the development of the essential systems that drive our GPU optimization platform.Your ResponsibilitiesDesign and implement scalable infrastructure for AI model training and inference tasks.Guide the team in making technical decisions and architectural choices.Qualifications We SeekEssential Technical SkillsGPU Fundamentals: A strong grasp of GPU architectures, CUDA programming, and parallel computing methodologies.Deep Learning Frameworks: Skilled in PyTorch, TensorFlow, or JAX, especially for GPU-accelerated applications.Knowledge of LLM/AI: Solid foundation in large language models, including training, fine-tuning, prompting, and evaluation.Systems Engineering: Proficient in C++, Python, and potentially Rust/Go for developing tools around CUDA.Preferred BackgroundPublications or contributions to open-source projects related to inference GPU computing or ML/AI are advantageous.Hands-on experience in conducting large-scale experiments, benchmarking, and performance optimization.

Join our dynamic team at Integrated Resources Inc. as a Database Optimization Engineer. In this role, you will leverage your expertise to enhance database performance, ensuring the efficiency and reliability of our data systems. You will be responsible for identifying bottlenecks, executing performance tuning, and implementing best practices for database management.This position offers an exciting opportunity to work in a collaborative environment, applying cutting-edge technologies and methodologies to solve complex data challenges.

At ClickUp, we're not just developing software; we're shaping the future of work! In an era dominated by work sprawl, we identified a more efficient way. This led us to create the first truly integrated AI workspace, consolidating tasks, documents, chat, calendar, and enterprise search, all enhanced by context-driven AI. Our mission is to empower millions of teams to escape silos, reclaim their time, and reach unprecedented levels of productivity. At ClickUp, you'll have the chance to learn, innovate, and leverage AI in transformative ways that will not only influence our product but also the broader landscape of work itself. Join a daring, pioneering team that's challenging the limits of what's possible! We are on the lookout for a technical leader in SaaS client performance who is passionate about enhancing the customer experience through top-tier performance solutions. As a Senior Performance Engineer, you will spearhead comprehensive strategies to optimize application speed, memory utilization, and reliability across our entire platform. You will be empowered to analyze, diagnose, and address performance bottlenecks wherever they arise—be it front-end, back-end, or infrastructure—ensuring ClickUp remains the fastest and most reliable productivity platform available.The ideal candidate is a hands-on authority in browser and NodeJS performance, with a thorough understanding of how code influences rendering, memory management, and overall user experience. You excel in solving intricate challenges, collaborating across teams, and establishing new benchmarks for performance excellence. If you're driven to make a significant impact for millions of users, this is your chance to lead at scale.Your Responsibilities:Conduct root cause analysis on client performance issues and perform post-mortems.Profile application code to identify inefficient algorithms, memory leaks, and other issues; propose and implement effective solutions.Establish performance monitoring, alerting, and dashboards to proactively detect and resolve client performance challenges.Examine client traffic patterns, load testing outcomes, and other metrics to set benchmarks and drive enhancements.Champion performance best practices and set performance standards across the engineering organization.Identify infrastructure upgrades (caching, CDNs, database optimization) to elevate the client experience.Collaborate with development teams to incorporate performance as a core requirement in the development of new features.

Join the Innovative Team at Liquid AIFounded as a spin-off from MIT’s CSAIL, Liquid AI is at the forefront of developing cutting-edge AI systems that operate seamlessly across various platforms, including data center accelerators and on-device hardware. Our technology is designed to ensure low latency, efficient memory usage, privacy, and reliability. We collaborate with leading enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services as we rapidly scale our operations. We are seeking talented individuals who are passionate about technology and innovation.Your Role in Our TeamAs a GPU Performance Engineer, your expertise will be critical in enhancing our models and workflows beyond the capabilities of standard frameworks. You will be responsible for designing and deploying custom CUDA kernels, conducting hardware-level profiling, and transforming research concepts into production code that yields tangible improvements in our pipelines (training, post-training, and inference). Our dynamic team values initiative and ownership, and we are looking for a candidate who thrives on tackling complex challenges related to memory hierarchies, tensor cores, and profiling outputs.While San Francisco and Boston are preferred, we welcome applications from other locations.

Role overview This Software Engineer position at OpenAI focuses on inference and performance optimization. Based in San Francisco, the role centers on increasing the speed and efficiency of advanced AI systems. Collaboration with experienced engineers is a key part of the work, with an emphasis on refining AI performance. What you will do Work on optimizing the performance of AI inference systems Collaborate with other engineers to improve efficiency and speed Contribute to solutions that enhance AI system capabilities Location This role is based in San Francisco.

Become a Key Player in Collibra’s Product & Database Reliability TeamWe are on the lookout for a talented and experienced Database Engineer to join our innovative team at Collibra. In this role, you will be pivotal in ensuring the performance, scalability, and reliability of our PostgreSQL database systems. Your expertise will guide cross-functional collaboration, provide technical leadership, and implement best practices to optimize our database infrastructure.This is a hybrid position based in our Raleigh office, requiring you to work in the office at least two days a week. Our hybrid model fosters connection, teamwork, and continuous progress.Key ResponsibilitiesPerformance Optimization: Conduct analysis and optimization of database performance through monitoring, tuning, and query optimization to achieve quick response times and efficient resource utilization, collaborating with engineering teams to resolve issues.Right Sizing: Engage in capacity planning and forecasting to predict future database needs, ensuring scalability, and automating sizing methodologies.Troubleshooting and Problem Resolution: Diagnose and address complex database issues, including performance bottlenecks and data inconsistencies, leveraging observability data for pattern recognition.Collaboration: Partner with developers, system administrators, and other stakeholders to comprehend application requirements and provide database-related guidance.Automation: Implement automation for repetitive tasks and performance monitoring, enhancing process efficiency and developing automated solutions for continuous workload analysis.Best Practices & Documentation: Establish best practices for database architecture, configurations, processes, and troubleshooting procedures.

Join Roblox, where millions of users engage daily to explore, create, and connect in immersive 3D digital experiences crafted by our dynamic global community of developers and creators.At Roblox, we are dedicated to providing the tools and platform that empower our users to bring their imaginative experiences to life. Our vision is to revolutionize how people connect from anywhere in the world and on any device. We aim to connect a billion individuals with optimism and civility, and we are seeking exceptional talent to help us achieve this goal.A career at Roblox means you will be shaping the future of human interaction, tackling unique technical challenges at scale, and working towards creating safer, more respectful shared experiences for all users.As a Principal Software Engineer in the Performance & Optimization pod within Studio, you will spearhead the architecture, design, and development of simulation, profiling, and debugging tools in Roblox Studio. Your contributions will enable creators to understand their experiences' performance across a diverse range of devices, from high-end PCs to mobile, empowering them to deliver high-quality content rapidly and confidently.You will:Design and implement intricate technical features end-to-end in our game engine and Studio UI that assist creators in comprehending and optimizing their experiences.Collaborate cross-functionally across teams and technology platforms to ensure the delivery of consistent, high-quality tools.Mentor engineers by exemplifying best practices, patterns, and strategies in technology.Enhance product quality through the promotion of automated testing and reliable systems.Contribute to creating the world's leading professional application for massively multiplayer game development.

About Us:Datacor is a premier provider of innovative software solutions tailored for the process manufacturing sector. Our mission is to empower industries with advanced technology that addresses their most pressing challenges, enabling them to operate more efficiently and effectively.We are dedicated to enhancing our customers' ability to utilize data as a strategic advantage. Our clients produce essential products that improve lives by sanitizing, fertilizing, beautifying, cleaning, and recycling. At Datacor, we strive to make these everyday products safer, more cost-effective, and efficient through our cutting-edge technology platforms and applications.The Role:As an AI Optimization Engineer, you will play a pivotal role in shaping our optimization capabilities across our diverse product suite. Your objective is to transform how leading process manufacturers and distributors manage their comprehensive operations—from the arrival of raw ingredients to production sequencing and delivery optimization.This is a unique greenfield opportunity where you will have complete ownership of setting the technical direction, establishing algorithmic foundations, and overseeing the delivery process from design to production deployment. You will influence how Datacor approaches optimization for various clients, each with distinct business constraints and operational realities. This role offers you the chance to collaborate with product managers, engineers, and domain specialists in a dynamic team environment that values your input and expertise.

At Zoox, we are redefining the future of transportation by creating autonomous robotaxis that prioritize safety, reliability, sustainability, and user enjoyment. As we advance towards the public deployment of our robotaxis, now is an exciting time to join our team and contribute significantly to this groundbreaking mission. The ML Platform team at Zoox is pivotal in driving advancements in machine learning (ML) and computer vision (CV), ensuring a seamless autonomous driving experience for all.Your Role:Are you passionate about spearheading ML Performance Optimization efforts? In this role, you will enhance our Training and Inference platforms, maximizing the speed and efficiency of our autonomous driving capabilities. Collaborating across various ML teams, including Perception, Prediction, Planning, Simulation, Collision Avoidance, and Advanced Hardware Engineering, you will play a vital role in pushing the boundaries of ML practices at Zoox.You will oversee the development and operation of foundational ML tools, deep learning frameworks, and inference systems that support our applied research teams in both on-vehicle and off-vehicle ML applications. Leading a team of talented software engineers, you will amplify our internal customers' capabilities. As our robotaxi deployments expand and we explore new ML domains, this position offers tremendous growth opportunities. For more insights into our technology stack behind autonomous driving, please visit here.

Join Collibra's Product & Database Reliability Team We are looking for a talented and experienced Database Engineer to become a vital part of our innovative team. In this role, you will play a key part in ensuring the performance, scalability, and reliability of our database systems. You will collaborate with cross-functional teams, provide technical leadership, and implement best practices to boost our database infrastructure's efficiency. This is a hybrid position based in our New York office, requiring in-office work at least two days a week. Our hybrid model fosters collaboration and enhances team connectivity. Key Responsibilities of Database Engineers at Collibra: Performance Optimization: Analyze and enhance database performance through monitoring, tuning, and query optimization, ensuring quick response times and efficient resource utilization. Collaborate with engineering teams for effective problem-solving. Right Sizing: Conduct capacity planning and forecasting to foresee future database needs and ensure scalability. Automate sizing processes to accommodate growth. Troubleshooting and Problem Resolution: Investigate and resolve complex database issues, including performance bottlenecks and data inconsistencies. Utilize observability data to identify trends and potential problems. Collaboration: Work closely with developers, system administrators, and other stakeholders to understand application requirements and provide insight on database-related matters. Automation: Implement automation solutions for repetitive tasks and performance monitoring, streamlining processes and improving efficiency. Maintain automated solutions for continuous workload analysis at scale, enabling proactive issue identification. Best Practices & Documentation: Develop best practices for database architecture, configurations, processes, and troubleshooting procedures.

About UsGraphcore stands at the forefront of innovation in Artificial Intelligence computing. We are on a mission to develop advanced hardware, software, and systems infrastructure that will pave the way for groundbreaking AI advancements and facilitate the widespread integration of AI solutions across various sectors.As a proud member of the SoftBank Group, Graphcore is part of a distinguished network of companies driving transformative technologies. Together, we share an ambitious vision: to unlock the potential of Artificial Super Intelligence and ensure its benefits are available to all.Our teams are composed of individuals from diverse backgrounds, bringing a rich array of skills and perspectives. Our culture thrives on continuous learning and relentless innovation, uniting AI researchers, silicon designers, software engineers, and systems architects.Job OverviewAs an AI Performance Engineer at Graphcore, you will play a crucial role in enhancing the performance of our rapidly expanding AI/ML training and inference infrastructure. Your focus will be on optimizing performance across ARM-based architectures and large-scale distributed systems, ensuring efficiency, scalability, and reliability across the entire hardware-software stack.The TeamYou will be part of the System Engineering Performance team, responsible for architecting and optimizing high-performance infrastructure for extensive datacenter deployments. This collaborative team works across hardware, software, networking, and system architecture to deliver state-of-the-art AI solutions and maintain optimal system performance at scale.Key ResponsibilitiesAnalyze compute and memory requirements of ML models through roofline analysis and simulations.Collaborate with hardware and software teams to optimize large-scale AI workloads.Benchmark, monitor, and troubleshoot performance across distributed systems.Optimize communication stacks including MPI, NCCL, UCX, RDMA, and networking fabrics.Profile and enhance AI workloads, addressing performance bottlenecks.Develop high-quality, ARM-compatible code and documentation.Candidate ProfileEssential Qualifications:Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.Experience with distributed systems and communication libraries (MPI, NCCL, UCX, libfabric).Strong programming skills in C++ and Python.Experience in profiling and optimizing HPC or AI/ML workloads.Familiarity with ML benchmarks such as MLPerf.Desirable Qualifications:Experience with GPUs or accelerated computing technologies.